Update app.py

app.py

@@ -17,10 +17,6 @@ if not os.path.exists(save_dir):
 transcription_model = "openai/whisper-base"
 llm_model = "gmurro/bart-large-finetuned-filtered-spotify-podcast-summ"
 
-!pip install -U -q pytube transformers
-
-!pip -q install gradio==3.45.0
-
 import pandas as pd
 import numpy as np
 import pytube
@@ -119,7 +115,6 @@ def get_summary(audio_text):
       return grouped_summary
 
   # check text requires map-reduce stategy
-
   map_text = audio_text
   long_summary = ""
 
@@ -212,4 +207,4 @@ with gr.Blocks() as demo:
     sum_btn.click(fn=get_video, inputs=url, outputs=video, api_name="get_youtube_video", queue=False)
 
 demo.queue()
-demo.launch()
+demo.launch(share=True)